William J. Gradishar
- Oncology top 0.1%
- Cancer Research top 0.2%
- Pulmonary and Respiratory Medicine top 0.5%
- Molecular Biology top 2%
- Genetics top 1%
- Co-authors
- Paul BharNeil DesaiSergei TjulandinJoyce O’ShaughnessyMichael HawkinsHeather ShawNeville DavidsonRicardo Costa
- Topics
- Cancer Treatment and Pharmacology (118 papers)HER2/EGFR in Cancer Research (108 papers)Breast Cancer Treatment Studies (98 papers)
- Partner nations
- United StatesItalySpain
In The Last Decade
William J. Gradishar
337 papers receiving 12.9k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Oncology 8.1k
- Cancer Research 3.5k
- Pulmonary and Respiratory Medicine 3.1k
- Molecular Biology 3.0k
- Genetics 1.5k
Countries citing papers authored by William J. Gradishar
This map shows the geographic impact of William J. Gradishar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by William J. Gradishar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William J. Gradishar more than expected).
Fields of papers citing papers by William J. Gradishar
This network shows the impact of papers produced by William J. Gradishar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by William J. Gradishar. The network helps show where William J. Gradishar may publish in the future.
Co-authorship network of co-authors of William J. Gradishar
This figure shows the co-authorship network connecting the top 25 collaborators of William J. Gradishar. A scholar is included among the top collaborators of William J. Gradishar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William J. Gradishar. William J. Gradishar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 8 | |
| 7 | 18 | |
| 8 | 35 | |
| 9 | 15 | |
| 10 | 46 | |
| 11 | 9 | |
| 12 | 100 | |
| 13 | 23 | |
| 14 | 106 | |
| 15 | 54 | |
| 16 | 46 | |
| 17 | Evidence-driven, patient-specific approaches for optimizing survival prolongation in breast cancer. | 1 |
| 18 | 36 | |
| 19 | 35 | |
| 20 | 105 |
About William J. Gradishar
William J. Gradishar is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 355 papers that have together received 13.2k indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (118 papers), HER2/EGFR in Cancer Research (108 papers) and Breast Cancer Treatment Studies (98 papers). The work is most often cited by research in Oncology (8.1k citations), Cancer Research (3.5k citations) and Pulmonary and Respiratory Medicine (3.1k citations). William J. Gradishar has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Paul Bhar, Neil Desai, Sergei Tjulandin, Joyce O’Shaughnessy, Michael Hawkins, Heather Shaw, Neville Davidson, Ricardo Costa, Hyo S. Han and Cesar A. Santa‐Maria. Their work appears in journals such as New England Journal of Medicine, JAMA and Journal of Clinical Investigation.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.